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DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies.
Packer, Richard J; Williams, Alex T; Hennah, William; Eisenberg, Micaela T; Shrine, Nick; Fawcett, Katherine A; Pearson, Willow; Guyatt, Anna L; Edris, Ahmed; Hollox, Edward J; Marttila, Mikko; Rao, Balasubramanya S; Bratty, John Raymond; Wain, Louise V; Dudbridge, Frank; Tobin, Martin D.
Afiliação
  • Packer RJ; Department of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
  • Williams AT; Leicester National Institute of Health and Care Research Biomedical Research Centre, Glenfield Hospital, Leicester LE5 4PW, UK.
  • Hennah W; Department of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
  • Eisenberg MT; Orion Pharma, Espoo 02200, Finland.
  • Shrine N; Neuroscience Center, HiLIFE, University of Helsinki, Helsinki 00100, Finland.
  • Fawcett KA; Institute for Molecular Medicine FIMM, HiLIFE, University of Helsinki, Helsinki 00100, Finland.
  • Pearson W; Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK.
  • Guyatt AL; Department of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
  • Edris A; Department of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
  • Hollox EJ; Department of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
  • Marttila M; Department of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
  • Rao BS; Department of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
  • Bratty JR; Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Gent 9000, Belgium.
  • Wain LV; Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK.
  • Dudbridge F; Orion Pharma, Espoo 02200, Finland.
  • Tobin MD; Orion Pharma, Nottingham NG1 2GB, UK.
Bioinformatics ; 39(4)2023 04 03.
Article em En | MEDLINE | ID: mdl-36744935

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Fenômica Tipo de estudo: Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Fenômica Tipo de estudo: Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido